Papasidero
City in Calabria, Italy
Overview
Papasidero is a charming Calabrian village set between mountains and the Lao River, known for its tranquility, scenic nature, and medieval character. Visitors come to enjoy outdoor adventures, ancient churches, and authentic southern Italian hospitality.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
630
Time Zone
Europe/Rome
Coordinates
39.87°, 15.91°
Key Metrics
Safety Score · estimate
85
Female Safety
78
LGBTQ+ Safety
60
Traffic Safety
87
Food Safety
88
Monthly Cost · estimate
$1,380
Local Cost
$770
Local Income
$1,100
Cashless
35
English
22
Temperature
15.2°C
Summer Avg
23.3°C
Winter Avg
8.0°C
Record High
36.5°C
Record Low
-4.1°C
Humidity
75%
Precipitation
896 mm
Internet Speed
117 Mbps
Upload
20 Mbps
Latency
64 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
7
Walk Score
7
Footways
13.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-23.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.